New Release Provides Ability to Parameterize Queries and Run
Unlimited Numbers of Parallel Queries on Hadoop and HBase

February 01, 2012 03:00 AM Eastern Standard Time

CUPERTINO, Calif.--(BUSINESS WIRE)--Karmasphere™,
the leader in Big Data Intelligence, today announced new capabilities in
Karmasphere Analyst to provide Big Data Analytics teams with more power,
collaboration and reuse. With the advent of Hadoop, businesses can now
affordably analyze massive amounts of customer interaction and product
data across web, mobile, social, sensor, video and call center channels,
to optimize their business without resorting to data sampling or
expensive massively parallel processing (MPP) databases. Karmasphere
Analyst positions these companies to tap the SQL skills of their
employees to directly analyze Big Data on Hadoop, shielding them from
the complexities of Hadoop and eliminating the need to retrain employees
in new technologies.

With its latest release, Karmasphere Analyst introduces two
industry-firsts for Hadoop and Hive; parallel and parameterized queries.
The new Karmasphere Analyst’s parallel query capability makes it much
faster for data analysts to iteratively query Big Data and generate
visualizations that uncover insights and patterns for the business.
Parameterized queries make it possible for business users to then submit
these queries on an ad hoc basis and display the results in tables,
charts, Microsoft Excel™ and other third-party reporting and graphical
tools.

Now with Karmasphere Analyst, marketers for example, can go beyond their
sampled web analytics data to analyze all of their web interaction data
to identify customer profiles and behaviors to further personalize
product offerings. The ability to perform analysis directly and cheaply
on the entire set of data increases the accuracy of the results and
insights to create competitive advantage.

“We are seeing Big Data Analytics teams consisting of one or more data
analyst “power users” working with business analysts in sales, customer
service, operations, and marketing. Now Karmasphere brings these teams
together through an integrated workspace so every person on the team can
collaborate to speed sophisticated analysis on Hadoop,” said Rich Guth,
CMO, Karmasphere. “This allows data analysts, and the business people
they support, to pull value out of their Big Data without running into
technological roadblocks or taking too long to get results.”

New Features of Karmasphere Analyst 1.8

Support for Parameterized Queries Empowers Teams

Parameterized queries are a well-known and popular approach for business
users to create ad hoc queries. In Karmasphere Analyst, data analysts
identify key business insights using Big Data visualization techniques
and share the resulting queries with business users who can run them
when needed. This collaborative approach to Big Data Intelligence makes
teams very efficient and effective without having to learn new and
complex technologies.

Support for Parallel Queries Overcomes Hadoop
Analysis Bottlenecks

The ability to run parallel queries is vital to the iterative nature of
Big Data exploration and mining. Now in Karmasphere Analyst, Big Data
analysts submit queries, view results in Big Data visualizations, submit
additional queries, compare results and iterate further. Without this
new capability, Hadoop is limited to open source Hive’s constraint to
process one query at a time, creating performance bottlenecks for Big
Data analysts. With Karmasphere, data analysts can now run an unlimited
number of queries concurrently on Hadoop so that one or more data sets
can be viewed simultaneously while others are being generated.

Support for HBase Expands the Reach of Big Data
Analytics

Increasingly companies are using HBase, an open source database used in
conjunction with Hadoop for applications that need to read and write
large amounts of multi-structured data quickly, such as web
applications. Karmasphere Analyst now supports HBase, ensuring queries
created with Karmasphere can access this valuable data in HBase for Big
Data Analytics.

Support for Current Version of Apache Open
Source Hive, Providing Upward Compatibility

The new Karmasphere Analyst supports Hive 0.7.1 the latest Apache open
standard engine for accessing Hadoop data with SQL. As a result,
Karmasphere can build upon the innovations of the open source Hadoop
development community, keeping pace with their latest Big Data analytics
capabilities. Karmasphere also provides upward compatibility for new
versions of Hive across Hadoop Distributions including: Amazon Elastic
Map Reduce, Cloudera, HortonWorks, IBM Infosights and Map/R Technologies.

Karmasphere, the leader in Big Data Intelligence, equips companies to
unlock the power of Big Data in Hadoop, opening up a whole new world of
possibilities to add value to their businesses.

With the advent of Hadoop, businesses can now affordably analyze massive
amounts of Big Data across their web, mobile, social, sensor, video and
call center interactions without the limitations of having to use
sampled data or expensive and proprietary massively parallel processing
databases (MPP).

The power and ease-of-use of Karmasphere Analyst makes unparalleled
collaboration possible for Big Data Analytic teams so they can rapidly
discover and share new patterns, relationships, drivers and insights for
any kind of multi-structured data in a variety of Hadoop distributions
including: Amazon Elastic Map Reduce, Cloudera, HortonWorks, IBM, and
MapR Technologies.